
* spelling: activity Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: adding Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: addresses Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: administrators Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: alarm Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: alignment Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: analyzing Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: apcupsd Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: apply Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: around Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: associated Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: automatically Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: availability Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: background Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: bandwidth Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: berkeley Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: between Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: celsius Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: centos Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: certificate Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: cockroach Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: collectors Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: concatenation Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: configuration Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: configured Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: continuous Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: correctly Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: corresponding Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: cyberpower Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: daemon Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: dashboard Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: database Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: deactivating Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: dependencies Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: deployment Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: determine Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: 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<jsoref@users.noreply.github.com> * spelling: miscellaneous Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: monitoring Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: monitors Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: monolithic Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: multi Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: multiplier Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: navigation Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: noisy Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: number Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: observing Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: omitted Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: orchestrator Signed-off-by: Josh Soref 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* spelling: preferred Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: prioritize Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: probabilities Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: process Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: processes Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: program Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: qos Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: quick Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: raspberry Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: received Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: recvfile Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: red hat Signed-off-by: Josh Soref <jsoref@users.noreply.github.com> * spelling: relatively 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6.3 KiB
Collect container metrics with Netdata
Thanks to close integration with Linux cgroups and the virtual files it maintains under /sys/fs/cgroup
, Netdata can
monitor the health, status, and resource utilization of many different types of Linux containers.
Netdata uses cgroups.plugin to poll /sys/fs/cgroup
and convert the raw data
into human-readable metrics and meaningful visualizations. Through cgroups, Netdata is compatible with all Linux
containers, such as Docker, LXC, LXD, Libvirt, systemd-nspawn, and more. Read more about Docker-specific
monitoring below.
Netdata also has robust Kubernetes monitoring support thanks to a Helmchart to automate deployment, collectors for k8s agent services, and robust service discovery to monitor the services running inside of pods in your k8s cluster. Read more about Kubernetes monitoring below.
A handful of additional collectors gather metrics from container-related services, such as dockerd or Docker Engine. You can find all container collectors in our supported collectors list under the containers/VMs and Kubernetes headings.
Collect Docker metrics
Netdata has robust Docker monitoring thanks to the aforementioned cgroups.plugin. By polling cgroups every second, Netdata can produce meaningful visualizations about the CPU, memory, disk, and network utilization of all running containers on the host system with zero configuration.
Netdata also collects metrics from applications running inside of Docker containers. For example, if you create a MySQL
database container using docker run --name some-mysql -e MYSQL_ROOT_PASSWORD=my-secret-pw -d mysql:tag
, it exposes
metrics on port 3306. You can configure the MySQL
collector to look at 127.0.0.0:3306
for
MySQL metrics:
jobs:
- name: local
dsn: root:my-secret-pw@tcp(127.0.0.1:3306)/
Netdata then collects metrics from the container itself, but also dozens MySQL-specific metrics as well.
Collect metrics from applications running in Docker containers
You could use this technique to monitor an entire infrastructure of Docker containers. The same enable and configure procedures apply whether an application runs on the host system or inside a container. You may need to configure the target endpoint if it's not the application's default.
Netdata can even run in a Docker container itself, and then collect metrics about the host system, its own container with cgroups, and any applications you want to monitor.
See our application metrics doc for details about Netdata's application metrics collection capabilities.
Collect Kubernetes metrics
We already have a few complementary tools and collectors for monitoring the many layers of a Kubernetes cluster, entirely for free. These methods work together to help you troubleshoot performance or availability issues across your k8s infrastructure.
- A Helm chart, which bootstraps a Netdata Agent pod on every node in your cluster, plus an additional parent pod for storing metrics and managing alarm notifications.
- A service discovery plugin, which discovers and creates configuration files for compatible applications and any endpoints covered by our generic Prometheus collector. With these configuration files, Netdata collects metrics from any compatible applications as they run inside of a pod. Service discovery happens without manual intervention as pods are created, destroyed, or moved between nodes.
- A Kubelet collector, which runs on each node in a k8s cluster to monitor the number of pods/containers, the volume of operations on each container, and more.
- A kube-proxy collector, which also runs on each node and monitors latency and the volume of HTTP requests to the proxy.
- A cgroups collector, which collects CPU, memory, and bandwidth metrics for each container running on your k8s cluster.
For a holistic view of Netdata's Kubernetes monitoring capabilities, see our guide: Monitor a Kubernetes (k8s) cluster with Netdata.
What's next?
Netdata is capable of collecting metrics from hundreds of applications, such as web servers, databases, messaging brokers, and more. See more in the application metrics doc.
If you already have all the information you need about collecting metrics, move into Netdata's meaningful visualizations with seeing an overview of your infrastructure using Netdata Cloud.